Modelling of geometry for directed energy deposition via machine learning

• المؤلف الرئيسي: Hong, Weidong
• مؤلفون آخرون: Li Hua
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2023
• الموضوعات: Engineering::Mechanical engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/167105
• المؤسسة: Nanyang Technological University

Predicting the geometry of bead in multi-track and multi-layer Directed Energy Deposition (DED) presents a challenge due to variations in process parameters, resulting in changes in geometry from one layer or track to another. To address this issue, a Long Short-Term Memory (LSTM) model is applied t...